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finetuned_helsinki_peft_model__en_to_ar
Elalimy/finetuned_helsinki_peft_model__en_to_ar
finetuned_helsinki_peft_model__en_to_ar is a machine learning model from Elalimy. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Mar 8, 2024
- Updated
- Mar 8, 2024
- SHA
- 36aed80b
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
finetuned_helsinki_peft_model__en_to_ar
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ar on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7655
- Bleu: 26.7751
- Gen Len: 13.524
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.9431 | 0.2 | 500 | 1.7705 | 26.9288 | 13.456 |
| 1.9149 | 0.4 | 1000 | 1.7700 | 27.5825 | 13.516 |
| 1.9356 | 0.6 | 1500 | 1.7689 | 26.9314 | 13.5445 |
| 1.9242 | 0.8 | 2000 | 1.7681 | 26.9265 | 13.4585 |
| 1.9542 | 1.0 | 2500 | 1.7686 | 26.9745 | 13.5045 |
| 1.9417 | 1.2 | 3000 | 1.7676 | 27.1966 | 13.545 |
| 1.9233 | 1.4 | 3500 | 1.7675 | 26.7973 | 13.5225 |
| 1.929 | 1.6 | 4000 | 1.7670 | 26.8808 | 13.5455 |
| 1.9504 | 1.8 | 4500 | 1.7669 | 27.0192 | 13.484 |
| 1.9148 | 2.0 | 5000 | 1.7673 | 27.0003 | 13.5225 |
| 1.9052 | 2.2 | 5500 | 1.7667 | 26.9055 | 13.5455 |
| 1.9443 | 2.4 | 6000 | 1.7665 | 26.8744 | 13.492 |
| 1.9212 | 2.6 | 6500 | 1.7667 | 26.7736 | 13.51 |
| 1.9306 | 2.8 | 7000 | 1.7665 | 26.8395 | 13.491 |
| 1.9552 | 3.0 | 7500 | 1.7659 | 26.853 | 13.4695 |
| 1.9396 | 3.2 | 8000 | 1.7653 | 26.7499 | 13.4975 |
| 1.9306 | 3.4 | 8500 | 1.7654 | 26.7146 | 13.53 |
| 1.917 | 3.6 | 9000 | 1.7656 | 26.8062 | 13.527 |
| 1.9285 | 3.8 | 9500 | 1.7655 | 26.7167 | 13.5315 |
| 1.9109 | 4.0 | 10000 | 1.7655 | 26.7751 | 13.524 |
Framework versions
- PEFT 0.9.1.dev0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Mar 8, 2024
- Updated
- Mar 8, 2024